Question: Given the training examples with x = [ x 1 ( t ) , x 2 ( t ) ] i n R 2 above,

Given the training examples with x=[x1(t),x2(t)]inR2 above, where a boundary
between the positively-labeled examples and the negatively-labeled examples is an
ellipse, which of the following feature vector(s)(x) will guarantee that the training
set {((x(t)),y(t)),t=1,dots,n}(where y(t) are the labels) are linearly
separable?
Given the training examples with x=[x1(t),x2(t)]inR2 above, where a boundary between

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